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| 不同施肥决策对冬小麦生长影响的高光谱监测及对比分析 | |
| 引用本文： | 崔贝,黄文江,杨武德,宋晓宇,陈立平,冯美臣,张东彦,张竞成.不同施肥决策对冬小麦生长影响的高光谱监测及对比分析[J].植物营养与肥料学报,2013,19(1):12-20. |
| 作者姓名： | 崔贝 黄文江 杨武德 宋晓宇 陈立平 冯美臣 张东彦 张竞成 |
| 作者单位： | 1. 北京农业信息技术研究中心,北京100097;山西农业大学农学院,山西太谷030801 2. 北京农业信息技术研究中心,北京100097;中国科学院遥感与数字地球研究所,遥感科学国家重点实验室,数字地球重点实验室,北京100094 3. 山西农业大学农学院,山西太谷,030801 4. 北京农业信息技术研究中心,北京,100097 |
| 基金项目： | 国家“973”项目(2011CB311806);国家自然科学基金(41201326,31071324,41071228)项目资助 |
| 摘 要： | 为了明确不同变量施肥算法下的冬小麦冠层光谱特征,以及确定适宜我国气候条件的变量施肥算法,于2006年通过田间试验,分别测量了六种不同施肥决策下的冬小麦冠层光谱和产量,对这六种施肥算法进行了对比分析.结果表明,通过对施肥后冬小麦冠层光谱反射率、施肥前后反射率变化量以及不同时期的归一化植被指数的分析,得知不同施肥处理的冬小麦冠层光谱反射率存在差异,可以反映出冬小麦长势的强弱,其中基于光谱指数和作物生长模型相结合的算法(Z)进行施肥的冬小麦长势最佳.与均一施肥(W)和不施肥(CK)处理相比,变量施肥处理均显著提高小麦产量；除基于土壤养分变量施肥处理(T)外,产量变异系数明显降低,其中基于归一化SPAD值变量施肥处理(S)的变异系数最小.Z变量施肥算法综合效果最佳,S变量施肥算法在降低产量变异度方面效果最佳.拔节期施肥对开花期或灌浆初期小麦生长影响最大；并且这两时期的植被指数与产量的相关性也最好,尤其红边三角光谱指数(RTVI)最好(相关系数达到0.700),可见采用RTVI指数进行产量预测效果更优. |
| 关 键 词： | 冬小麦 变量施肥 反射率变化量 对比分析 |
| 收稿时间： | 2012-02-07 |
Monitoring influence of different fertilization decision treatments on winter wheat growth using hyperspectral spectrum and comparative analysis |
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| CUI Bei,HUANG Wen-jiang,YANG Wu-de,SONG Xiao-yu,CHEN Li-ping,FENG Mei-chen,ZHANG Dong-yan,ZHANG Jing-cheng.Monitoring influence of different fertilization decision treatments on winter wheat growth using hyperspectral spectrum and comparative analysis[J].Plant Nutrition and Fertilizer Science,2013,19(1):12-20. | |
| Authors: | CUI Bei HUANG Wen-jiang YANG Wu-de SONG Xiao-yu CHEN Li-ping FENG Mei-chen ZHANG Dong-yan ZHANG Jing-cheng |
| Institution: | 1 (1 Beijing Research Center for Information Technology in Agriculture,Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097,China;2 College of Agronomy,Shanxi Agricultural University,Taigu,Shanxi 030801,China;3 The State Key Laboratory of Remote Sensing Science/Laboratory of Digital Earth Sciences/Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences,Beijing 100094,China) |
| Abstract: | In order to clarify the characteristics of canopy spectrum of winter wheat under the condition of different fertilizations, and to select the best variable fertilization algorithm, a field experiment was conducted in the year 2006 during winter wheat growth period. The indices of winter wheat including canopy spectrum and yields under six different fertilizer treatments were studied. The results show that through the analysis of the canopy spectral reflectance after the fertilization, variations of the reflectance before and after the fertilization, and the normalized difference vegetation index in different growth stages, there are some differences of canopy reflectance in winter wheat under different fertilizer treatments. The fertilization algorithm based on the spectral index and crop growth model (Z) is the best one. Compared with the uniform fertilization (W) and no fertilization (CK), the variable fertilizer treatments improve wheat yields significantly, the variation coefficients of yield are reduced, except the treatment based on soil nutrient (T), and the one of fertilization treatment based on the normalized SPAD value (S) is the smallest. The Z variable rate fertilization algorithm is the best in combined effect and the S variable fertilization algorithm is better in reducing yield variability. The effect of fertilization at the jointing stage on the wheat growth at the flowering or early filling stages is the biggest. A significantly correlation is observed between the vegetation indexes at the flowering or early filling stages and yield, especially Red edge triangular vegetation index (RTVI) (r=0.700), so we can use RTVI index to predict grain yield of winter wheat. |
| Keywords: | winter wheat variable-rate fertilizer application reflectivity variation comparative analysis |
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